Udemy - Complete Python and Machine Learning in Financial Analysis (3.2025)

Creation Time	Aug. 9, 2025, 5:52 a.m.
Last Access Time	Oct. 8, 2025, 9:13 p.m.
File Size	5.9 GB
Keywords	and Financial Complete Python - Analysis Udemy Machine 2025 3 Learning in
Total Requests	472
Total Files	165
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10 - Deep Learning in Finance/3 -Multilayer perceptrons for time series forecasting.mp4 271.5 MB
9 - Advanced Machine Learning Models in Finance/7 -Bayesian hyperparameter optimization.mp4 263.7 MB
10 - Deep Learning in Finance/4 -Convolutional neural networks for time series forecasting.mp4 247.7 MB
9 - Advanced Machine Learning Models in Finance/3 -Theres more about use advanced classifiers to achieve better results.mp4 225.5 MB
9 - Advanced Machine Learning Models in Finance/5 -Investigating the feature importance.mp4 197.4 MB
6 - Monte Carlo Simulations in Finance/2 -Simulating stock price dynamics using Geometric Brownian Motion.mp4 197.1 MB
10 - Deep Learning in Finance/5 -Recurrent neural networks for time series forecasting.mp4 190.9 MB
3 - Time Series Modeling/6 -Modeling time series with ARIMA class models.mp4 174.3 MB
10 - Deep Learning in Finance/2 -Deep learning for tabular data.mp4 165.3 MB
2 - Technical Analysis in Python/3 -Backtesting a strategy based on simple moving average.mp4 163.5 MB
8 - Identifying Credit Default with Machine Learning/3 -Exploratory data analysis.mp4 161.5 MB
1 - Financial Data and Preprocessing/10 -Investigating stylized facts of asset returns.mp4 157.9 MB
2 - Technical Analysis in Python/4 -Calculating Bollinger Bands and testing a buysell strategy.mp4 153.7 MB
2 - Technical Analysis in Python/6 -Building an interactive dashboard for TA.mp4 151.4 MB
8 - Identifying Credit Default with Machine Learning/9 -Tuning hyperparameters using grid search and cross-validation.mp4 121.5 MB
9 - Advanced Machine Learning Models in Finance/2 -Investigating advanced classifiers.mp4 116.9 MB
8 - Identifying Credit Default with Machine Learning/7 -Fitting a decision tree classifier.mp4 110.4 MB
8 - Identifying Credit Default with Machine Learning/5 -Dealing with missing values.mp4 109.6 MB
3 - Time Series Modeling/5 -Modeling time series with exponential smoothing methods.mp4 107.4 MB
4 - Multi-Factor Models/5 -Implementing the four- and five-factor models in Python.mp4 106.6 MB
9 - Advanced Machine Learning Models in Finance/6 -Investigating different approaches to handling imbalanced data.mp4 106.5 MB
7 - Asset Allocation in Python/4 -Finding the Efficient Frontier using optimization with scipy.mp4 106.4 MB
7 - Asset Allocation in Python/3 -Finding the Efficient Frontier using Monte Carlo simulations.mp4 100.2 MB
3 - Time Series Modeling/4 -Correcting for stationarity in time series.mp4 100.0 MB
5 - Modeling Volatility with GARCH Class Models/4 -Implementing a CCC-GARCH model for multivariate volatility forecasting.mp4 95.7 MB
4 - Multi-Factor Models/4 -Implementing the rolling three-factor model on a portfolio of assets.mp4 94.4 MB
3 - Time Series Modeling/3 -Testing for stationarity in time series.mp4 91.7 MB
6 - Monte Carlo Simulations in Finance/4 -Pricing American options with Least Squares Monte Carlo.mp4 90.4 MB
4 - Multi-Factor Models/3 -Implementing the Fama-French three-factor model in Python.mp4 83.9 MB
8 - Identifying Credit Default with Machine Learning/8 -Implementing scikit-learn's pipelines.mp4 82.8 MB
6 - Monte Carlo Simulations in Finance/6 -Estimating value-at-risk using Monte Carlo.mp4 81.7 MB
9 - Advanced Machine Learning Models in Finance/4 -Using stacking for improved performance.mp4 80.4 MB
6 - Monte Carlo Simulations in Finance/5 -Pricing American options using Quantlib.mp4 79.8 MB
8 - Identifying Credit Default with Machine Learning/2 -Loading data and managing data types.mp4 79.5 MB
1 - Financial Data and Preprocessing/8 -Visualizing time series data.mp4 74.4 MB
2 - Technical Analysis in Python/5 -Calculating the relative strength index and testing a longshort strategy.mp4 73.6 MB
5 - Modeling Volatility with GARCH Class Models/5 -Forecasting a conditional covariance matrix using DCC-GARCH.mp4 72.1 MB
10 - Deep Learning in Finance/1 -Introduction.mp4 70.6 MB
1 - Financial Data and Preprocessing/1 -Introduction of Python Programming in Financial Analysis.mp4 69.2 MB
5 - Modeling Volatility with GARCH Class Models/2 -Explaining stock returns' volatility with ARCH models.mp4 68.5 MB
8 - Identifying Credit Default with Machine Learning/6 -Encoding categorical variables.mp4 67.2 MB
6 - Monte Carlo Simulations in Finance/3 -Pricing European options using simulations.mp4 65.9 MB
7 - Asset Allocation in Python/2 -Evaluating the performance of a basic 1n portfolio.mp4 65.6 MB
3 - Time Series Modeling/2 -Decomposing time series.mp4 56.0 MB
1 - Financial Data and Preprocessing/6 -Converting prices to returns.mp4 55.7 MB
4 - Multi-Factor Models/2 -Implementing the CAPM in Python.mp4 55.7 MB
1 - Financial Data and Preprocessing/9 -Identifying outliers.mp4 55.0 MB
3 - Time Series Modeling/7 -Forecasting using ARIMA class models.mp4 54.5 MB
7 - Asset Allocation in Python/1 -Introduction.mp4 41.0 MB
1 - Financial Data and Preprocessing/7 -Changing frequency.mp4 40.1 MB
9 - Advanced Machine Learning Models in Finance/1 -Introduction.mp4 36.4 MB
8 - Identifying Credit Default with Machine Learning/4 -Splitting data into training and test sets.mp4 34.9 MB
8 - Identifying Credit Default with Machine Learning/1 -Introduction.mp4 34.3 MB
1 - Financial Data and Preprocessing/2 -Introduction of Financial Analysis.mp4 32.0 MB
5 - Modeling Volatility with GARCH Class Models/3 -Explaining stock returns' volatility with GARCH models.mp4 30.2 MB
1 - Financial Data and Preprocessing/4 -Getting data from Yahoo Finance.mp4 28.5 MB
1 - Financial Data and Preprocessing/5 -Getting data from Quandl.mp4 26.8 MB
6 - Monte Carlo Simulations in Finance/1 -Introduction.mp4 26.3 MB
5 - Modeling Volatility with GARCH Class Models/1 -Introduction.mp4 26.2 MB
2 - Technical Analysis in Python/2 -Creating a candlestick chart.mp4 26.0 MB
1 - Financial Data and Preprocessing/3 -Introduction.mp4 15.0 MB
2 - Technical Analysis in Python/1 -Introduction.mp4 14.2 MB
9 - Advanced Machine Learning Models in Finance/8 -Chapter_9.zip 12.9 MB
7 - Asset Allocation in Python/5 -Chapter_7.zip 11.7 MB
8 - Identifying Credit Default with Machine Learning/10 -Chapter_8.zip 11.2 MB
2 - Technical Analysis in Python/7 -Chapter_2.zip 8.4 MB
3 - Time Series Modeling/8 -Chapter_3.zip 8.3 MB
10 - Deep Learning in Finance/2 -requirements_of_chapter_10.zip 7.0 MB
4 - Multi-Factor Models/1 -Introduction.mp4 6.6 MB
1 - Financial Data and Preprocessing/11 -Chapter 1.zip 6.2 MB
3 - Time Series Modeling/1 -Introduction.mp4 6.2 MB
9 - Advanced Machine Learning Models in Finance/2 -requirements_of_chapter_9.zip 4.9 MB
6 - Monte Carlo Simulations in Finance/7 -Chapter_6.zip 4.8 MB
8 - Identifying Credit Default with Machine Learning/2 -requirements_of_chapter_8.zip 4.8 MB
10 - Deep Learning in Finance/6 -Chapter_10.zip 3.1 MB
5 - Modeling Volatility with GARCH Class Models/6 -Chapter_5.zip 2.7 MB
4 - Multi-Factor Models/6 -Chapter_4.zip 1.6 MB
2 - Technical Analysis in Python/2 -requirements_of_chapter_2.zip 505.4 KB
5 - Modeling Volatility with GARCH Class Models/2 -requirements_of_chapter_5.zip 57.6 KB
4 - Multi-Factor Models/2 -requirements_of_chapter_4.zip 52.6 KB
10 - Deep Learning in Finance/3 -Multilayer perceptrons for time series forecasting.vtt 21.4 KB
9 - Advanced Machine Learning Models in Finance/7 -Bayesian hyperparameter optimization.vtt 15.1 KB
10 - Deep Learning in Finance/4 -Convolutional neural networks for time series forecasting.vtt 14.8 KB
10 - Deep Learning in Finance/2 -Deep learning for tabular data.vtt 13.5 KB
10 - Deep Learning in Finance/5 -Recurrent neural networks for time series forecasting.vtt 12.6 KB
1 - Financial Data and Preprocessing/10 -Investigating stylized facts of asset returns.vtt 12.5 KB
8 - Identifying Credit Default with Machine Learning/3 -Exploratory data analysis.vtt 12.1 KB
3 - Time Series Modeling/6 -Modeling time series with ARIMA class models.vtt 11.8 KB
8 - Identifying Credit Default with Machine Learning/9 -Tuning hyperparameters using grid search and cross-validation.vtt 11.8 KB
2 - Technical Analysis in Python/3 -Backtesting a strategy based on simple moving average.vtt 10.0 KB
8 - Identifying Credit Default with Machine Learning/7 -Fitting a decision tree classifier.vtt 10.0 KB
9 - Advanced Machine Learning Models in Finance/5 -Investigating the feature importance.vtt 9.9 KB
6 - Monte Carlo Simulations in Finance/2 -Simulating stock price dynamics using Geometric Brownian Motion.vtt 9.5 KB
7 - Asset Allocation in Python/4 -Finding the Efficient Frontier using optimization with scipy.vtt 8.9 KB
1 - Financial Data and Preprocessing/1 -Introduction of Python Programming in Financial Analysis.vtt 8.7 KB
3 - Time Series Modeling/5 -Modeling time series with exponential smoothing methods.vtt 8.1 KB
9 - Advanced Machine Learning Models in Finance/6 -Investigating different approaches to handling imbalanced data.vtt 8.1 KB
8 - Identifying Credit Default with Machine Learning/6 -Encoding categorical variables.vtt 7.9 KB
6 - Monte Carlo Simulations in Finance/4 -Pricing American options with Least Squares Monte Carlo.vtt 7.7 KB
8 - Identifying Credit Default with Machine Learning/2 -Loading data and managing data types.vtt 7.6 KB
7 - Asset Allocation in Python/3 -Finding the Efficient Frontier using Monte Carlo simulations.vtt 6.6 KB
5 - Modeling Volatility with GARCH Class Models/5 -Forecasting a conditional covariance matrix using DCC-GARCH.vtt 6.6 KB
6 - Monte Carlo Simulations in Finance/6 -Estimating value-at-risk using Monte Carlo.vtt 6.5 KB
8 - Identifying Credit Default with Machine Learning/5 -Dealing with missing values.vtt 6.4 KB
8 - Identifying Credit Default with Machine Learning/8 -Implementing scikit-learn's pipelines.vtt 6.0 KB
10 - Deep Learning in Finance/1 -Introduction.vtt 5.8 KB
6 - Monte Carlo Simulations in Finance/5 -Pricing American options using Quantlib.vtt 5.8 KB
1 - Financial Data and Preprocessing/6 -Converting prices to returns.vtt 5.7 KB
4 - Multi-Factor Models/5 -Implementing the four- and five-factor models in Python.vtt 5.6 KB
2 - Technical Analysis in Python/4 -Calculating Bollinger Bands and testing a buysell strategy.vtt 5.6 KB
3 - Time Series Modeling/4 -Correcting for stationarity in time series.vtt 5.4 KB
4 - Multi-Factor Models/3 -Implementing the Fama-French three-factor model in Python.vtt 5.3 KB
9 - Advanced Machine Learning Models in Finance/4 -Using stacking for improved performance.vtt 5.2 KB
2 - Technical Analysis in Python/6 -Building an interactive dashboard for TA.vtt 5.2 KB
2 - Technical Analysis in Python/5 -Calculating the relative strength index and testing a longshort strategy.vtt 5.2 KB
3 - Time Series Modeling/2 -Decomposing time series.vtt 5.1 KB
7 - Asset Allocation in Python/2 -Evaluating the performance of a basic 1n portfolio.vtt 5.1 KB
1 - Financial Data and Preprocessing/8 -Visualizing time series data.vtt 5.1 KB
6 - Monte Carlo Simulations in Finance/2 -requirements_of_chapter_6.zip 4.9 KB
6 - Monte Carlo Simulations in Finance/3 -Pricing European options using simulations.vtt 4.8 KB
5 - Modeling Volatility with GARCH Class Models/2 -Explaining stock returns' volatility with ARCH models.vtt 4.6 KB
8 - Identifying Credit Default with Machine Learning/4 -Splitting data into training and test sets.vtt 4.6 KB
9 - Advanced Machine Learning Models in Finance/2 -Investigating advanced classifiers.vtt 4.4 KB
5 - Modeling Volatility with GARCH Class Models/4 -Implementing a CCC-GARCH model for multivariate volatility forecasting.vtt 4.4 KB
4 - Multi-Factor Models/2 -Implementing the CAPM in Python.vtt 4.4 KB
4 - Multi-Factor Models/4 -Implementing the rolling three-factor model on a portfolio of assets.vtt 4.3 KB
3 - Time Series Modeling/3 -Testing for stationarity in time series.vtt 4.1 KB
7 - Asset Allocation in Python/1 -Introduction.vtt 4.1 KB
5 - Modeling Volatility with GARCH Class Models/3 -Explaining stock returns' volatility with GARCH models.vtt 3.9 KB
1 - Financial Data and Preprocessing/9 -Identifying outliers.vtt 3.9 KB
8 - Identifying Credit Default with Machine Learning/1 -Introduction.vtt 3.7 KB
3 - Time Series Modeling/2 -requirements_of_chapter_3.zip 3.6 KB
1 - Financial Data and Preprocessing/2 -Introduction of Financial Analysis.vtt 3.6 KB
5 - Modeling Volatility with GARCH Class Models/1 -Introduction.vtt 3.5 KB
1 - Financial Data and Preprocessing/4 -Getting data from Yahoo Finance.vtt 3.4 KB
3 - Time Series Modeling/7 -Forecasting using ARIMA class models.vtt 3.1 KB
9 - Advanced Machine Learning Models in Finance/1 -Introduction.vtt 3.1 KB
6 - Monte Carlo Simulations in Finance/1 -Introduction.vtt 3.0 KB
1 - Financial Data and Preprocessing/7 -Changing frequency.vtt 2.7 KB
2 - Technical Analysis in Python/1 -Introduction.vtt 2.6 KB
2 - Technical Analysis in Python/2 -Creating a candlestick chart.vtt 2.4 KB
1 - Financial Data and Preprocessing/3 -Introduction.vtt 2.2 KB
1 - Financial Data and Preprocessing/5 -Getting data from Quandl.vtt 1.9 KB
4 - Multi-Factor Models/1 -Introduction.vtt 1.5 KB
3 - Time Series Modeling/1 -Introduction.vtt 1.2 KB
9 - Advanced Machine Learning Models in Finance/3 -Theres more about use advanced classifiers to achieve better results.vtt 811 bytes
10 - Deep Learning in Finance/6 - The End.html 48 bytes
10 - Deep Learning in Finance/2 - requirements of chapter 10.html 42 bytes
2 - Technical Analysis in Python/2 - requirements of chapter 2.html 41 bytes
3 - Time Series Modeling/2 - requirements of chapter 3.html 41 bytes
4 - Multi-Factor Models/2 - requirements of chapter 4.html 41 bytes
5 - Modeling Volatility with GARCH Class Models/2 - requirements of chapter 5.html 41 bytes
6 - Monte Carlo Simulations in Finance/2 - requirements of chapter 6.html 41 bytes
8 - Identifying Credit Default with Machine Learning/2 - requirements of chapter 8.html 41 bytes
9 - Advanced Machine Learning Models in Finance/2 - requirements of chapter 9.html 41 bytes
10 - Deep Learning in Finance/6 - Codes of Chapter 10.html 39 bytes
1 - Financial Data and Preprocessing/11 - Codes of Chapter 1.html 38 bytes
2 - Technical Analysis in Python/7 - Codes of Chapter 2.html 38 bytes
3 - Time Series Modeling/8 - Codes of Chapter 3.html 38 bytes
4 - Multi-Factor Models/6 - Codes of Chapter 4.html 38 bytes
5 - Modeling Volatility with GARCH Class Models/6 - Codes of Chapter 5.html 38 bytes
6 - Monte Carlo Simulations in Finance/7 - Codes of Chapter 6.html 38 bytes
7 - Asset Allocation in Python/5 - Codes of Chapter 7.html 38 bytes
8 - Identifying Credit Default with Machine Learning/10 - Codes of Chapter 8.html 38 bytes
9 - Advanced Machine Learning Models in Finance/8 - Codes of Chapter 9.html 38 bytes

Udemy - Complete Python and Machine Learning in Financial Analysis (3.2025)

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